EPSRC Reference: |
GR/J98882/01 |
Title: |
OBADIAH: OBJECT BASED DATA MANIPULATION WITH INTELLIGENT ACCESS AND HANDLING |
Principal Investigator: |
Kerridge, Professor JM |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Unknown |
Organisation: |
University of Sheffield |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
14 September 1994 |
Ends: |
31 December 1995 |
Value (£): |
41,674
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EPSRC Research Topic Classifications: |
Information & Knowledge Mgmt |
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EPSRC Industrial Sector Classifications: |
Chemicals |
Creative Industries |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
To investigate a highly parallel data storage subsystem that can be connected to a massively parallel information processing system. The storage system will use a low-level common storage model to enable access to the data using either object based, relational database or third generation language technologies. The storage subsystem will be used to investigate how genetic and neural techniques can be used to determine common access paths through the stored data to allow dynamic creation of appropriate access optimisations. Progress:The storage technology will contain substantial processing capability so that trends in data access can be detected and efficient access optimisations can be created dynamically. Transtech are providing access to their software and hardware systems so that a new way of accessing data can be created without recourse to file management systems. The data for the project is being provided by Shell Research and comes from LIDAR detectors placed around an oil refinery or chemical plant. The data which comprises about 500 mbytes per day contains information about chemicals being expelled into the local environment. Currently this data is being processed using C codes. In due course other techniques may become available which will use database and object based technology, for example the data may be visualised by rendering the chemical flows over a wire frame representation of a chemical plant. It is intended that data should be kept for a period of around fifteen years. Over such a period it is not known how processing technology will develop. Thus it is vital to develop a storage technology which allow data access in a number of different ways. Initial thoughts suggest the data should be held in a relational structure so that the data can be extracted in whatever form is required. Obviously, extracting the data to construct more complex processing structures requires low-level support for efficient data access. An object based approach will also require low-level support for the creation of object identifiers.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.shef.ac.uk |